A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs

Soomro, Raheem Bux; Al-Rahmi, Waleed Mugahed; Dahri, Nisar Ahmed; Almuqren, Latifah; Almogren, Abeer S.; Aldaijy, Ayad

doi:10.1038/s41598-025-86464-3

articleScientific ReportsFeb 13, 2025GOLD OA

A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs

RBRaheem Bux Soomro WMWaleed Mugahed Al-Rahmi NANisar Ahmed Dahri LALatifah Almuqren ASAbeer S. Almogren

Shah Abdul Latif University · Dar Al Uloom University · +4 more institutions

PubMed

Indexed incrossrefdoajpubmed

Abstract

This study investigates the impact of Artificial Intelligence (AI) adoption on the sustainable performance of small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) to examine the influence of various organizational, technological, and external factors on AI adoption. Key factors considered include top management support, employee capability, customer pressure, complexity, vendor support, and relative advantage. Data collected from 305 SMEs across multiple sectors were analyzed. The results reveal that all the proposed factors significantly and positively affect…

Citation impact

58

total citations

FWCI: 196.91
Percentile: 100%
References: 179

Citations per year

Authors

6

Topics & keywords

Topics

Keywords

Computer science
Artificial intelligence
Business

No related works found for this paper.